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Dummy variables in regression are artificial variables created to represent categorical data numerically. They take binary values (0 or 1) to indicate the presence or absence of a particular category. Since regression models require numerical input, dummy variables allow categorical variables (e.g., gender, region, or product type) to be incorporated into the analysis.

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